Dataset Versions
Versions
v1
2024-07-31 7:58pm
Generated on Jul 31, 2024
11739 Total Images
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Dataset Split
Train Set 88%
10272Images
Valid Set 8%
977Images
Test Set 4%
490Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±14° Horizontal, ±13° Vertical
Grayscale: Apply to 15% of images
Hue: Between -19° and +19°
Saturation: Between -32% and +32%
Brightness: Between -19% and +19%
Exposure: Between -14% and +14%
Blur: Up to 2.9px
Noise: Up to 1.01% of pixels